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  • 标题:Study of Hybrid DNA Physical Mapping Based on Approximation Algorithm with Errors
  • 本地全文:下载
  • 作者:Zhenglong Liu ; Yanmei Yang ; Yujun Luo
  • 期刊名称:International Journal of Hybrid Information Technology
  • 印刷版ISSN:1738-9968
  • 出版年度:2015
  • 卷号:8
  • 期号:2
  • 页码:355-366
  • DOI:10.14257/ijhit.2015.8.2.33
  • 出版社:SERSC
  • 摘要:A human chromosome is a DNA molecule with approximately 10 8 base pairs. The techniques developed to date for sequencing are restricted to pieces of DNA with up to tens of thousands of base pairs. This means that when a piece is sequenced, only an extremely small part of a chromosome can be seen. Molecular biologists use special techniques to deal with DNA molecules comparable in size to a chromosome. These techniques enable them to create maps of an entire chromosome or of significant fractions of chromosomes. Computational techniques were studied that could potentially aid biologists in the map-generation process. An algorithm that solves the consecutive 1s problem was studied. Such a problem is a good model of hybridization mapping when there are no errors and when probes are unique. If errors are present, another approach is needed, and the approximation algorithm is a prospective problem solver for hybridization physical mapping of DNA with errors.
  • 关键词:Physical Mapping; DNA; Hybridization; Probes matrix; Greedy TSP; ; Consecutive 1s Problem (C1P)
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